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The programming framework called MapReduce was developed by Google to develop a large amount of data in the most effective way possible. In fact, it is often used while dealing with a large number of data that needs distribution across hundreds and thousands of machines to handle it efficiently.

Small companies and individuals can utilize this framework to work with data within an organization and discover some significant statistics or correlations in the data. No matter how much what is the total amount of data we need to go through, the functionality of this framework can help us facilitate quicker than ever before.

Whether a data set is complicated, broad or small, one can use this application to query the system to get accurate information. With the correct information to work with, an organization will be able to detect fraud, explore search and sharing behavior, work with graph analysis and monitor the transformations. These are some of the functions that were difficult to manage before, especially in the data sets and were continually adding to the complications in an organization.

Using MapReduce application will split the input data set into various smaller parts and make jobs more manageable, which will then be controlled by the map task in totally parallel way. The framework will then sort the output of the maps and place them into a reduce task. This is among the finest ways to use the resources of distributed and large systems.

Once the overall information has been reduced by splitting, users may depend upon this framework to handle other important functions. This process includes monitoring, scheduling and better re-execution of failed tasks. By systematizing such features, this kind of data mining becomes less complicated and easy to manage with time.

A lot of organizations also use Hadoop training, applications and API to communicate with the functionality of MapReduce. In order to keep the consistency of data, it is important to correctly input data transfers and job configurations into the system. By using Hadoop API, numerous organizations are developing innovative and extremely reliable ways to transfer and move data.

Whether you have a small organization or an already established one, if you feel that this functionality can help leverage your business, a reputed IT service provider can be searched using any reputed search engine online such as Google, Yahoo or Bing. However, the presence of spam sites cannot be denied, hence it is important to check credibility of IT service provider before going through with the process.

Some recent Big Data Visualization auctions on eBay:

US medical imaging industry moves into big data realm
"Imaging data management will also be a major area for investment as vendors design enterprise-wide solutions that allow a comprehensive view of all the data available to an organization,” she added. There is, however, no clear-cut definition for the …
Read more on Enterprise Innovation

ZTE intensifies focus on SDN, NFV and Big Data solutions for enterprise
As the Internet of Things makes the world more connected, ZTE Corporation will intensify research on 5G, SDN (Software Defined Networks), cloud computing and Big Data to help customers build next-generation networks and technology infrastructure …
Read more on Networks Asia

Top 10 Priorities for Big Data Management
6. Define places for big data in architectures for data warehousing and enterprise data management Image: iStock 6. Define places for big data in architectures for data warehousing and enterprise data management. “For example, an obvious place to start …
Read more on Information Management (blog)

Farifax, VA (PRWEB) July 29, 2014

Venio Systems, the leading provider of integrated e-discovery software for corporations, law firms, government agencies and service providers, announced today that it will demonstrate newly released version 5 of its Venio Integrated E-Discovery Platform at ILTA Annual Conference 2014.

Version 5 demonstrates the use of predictive coding in different phases of the Electronic Discovery Reference Model (EDRM), including early case assessment, review and quality control and delivers other advantages for both end users and administrators. End users will benefit from enhancements like Near DeDupe, DT-like syntax for proximity, web printing with slip sheets, improved performance of web native viewing. “The most important enhancement for end users, however, is Venio Assisted Review,” says Chris Jurkiewicz, Venio’s co-founder and Executive Vice President of Client Services. Venio Assisted Review (VAR) provides quick categorization of data, predictive coding, and quality control and is easy to use with automatic and integrated workflows.

Administrators can look forward to greatly improved speed and productivity driven by Venio’s leverage of distributed computing. “Distributed computing allows our system to use its resources better and increase bandwidth for increased speed,” says Arestotle Thapa, Venio’s CEO and Chief Technology Officer. “It also allows administrators to easily prioritize critical jobs.” Other enhancements for administrators include improved forensic image support, multiple slip sheeting options, tiff improvements, improvements in the export capabilities and new reports.”

Venio is showcasing version 5 of its Venio Integrated E-Discovery Platform at the 37th Annual International Legal Technology Association (ILTA) Meeting in Nashville, August 17-21, 2014. For more information about the conference, please visit http://conference.iltanet.org/..

For more information about the Venio’s Integrated eDiscovery Platform please visit http://www.veniosystems.com.

About Venio Systems

Venio Systems, based in Fairfax, Virginia, is a team of innovators and developers with 20 years of experience in providing e-discovery solutions. Venio Systems was created to address the industry’s lack of truly integrated e-discovery systems. Venio Integrated E-Discovery Platform is a fully functional web-based application designed to provide law firms, corporations and government entities the ability to manage all phases of discovery from a single tool. Venio Systems remains on the forefront of innovation to provide solutions anyone can use. For more information, visit http://www.veniosystems.com/.

More Distributed Computing Press Releases

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Chicago, IL (PRWEB) June 09, 2015

UCX, the Universal Compute Xchange, is proud to introduce its newly formed Advisory Board. The UCX board will include Sean Castette, William Martin, Satish Nandapurkar, Ron Bodkin, Matt Calman, and Sandy Atwell. The formation of the Advisory Board builds on the recent announcement of the expansion of trade on UCX for their benchmark WAC (Workload Allocation Cube) Financial Contract, which enables trading cloud as a commodity.

“We are thrilled to announce the formation of our Advisory Board. The advisory board will help serve an important role as UCX continues to change the landscape for digital commodities,” says Adam Zeck, CEO and Founder of UCX. “These distinguished individuals have all proven to be experts in their respective fields and have helped to shape the financial services and technology industries. Individually, the talents brought by each advisor are unique and accomplished in their respective fields, and collectively this becomes a world class advisory board.”

UCX has uniquely positioned itself in the market and continues to develop out a whole new asset class of exchange traded products with technology licensed from CME Group.

UCX Advisory Board Members:

Mr. Sean Castette is a successful Entrepreneur who held a variety of roles at GETCO including Technology Officer, Chief Operating Officer, and Head of FICC Trading. Mr. Castette merged GETCO with Knight Capital to create KCG. He is a pioneer the electronic trading industry and key player in its rapidly global expansion.

Mr. William Martin is the Chairman and Chief Investment Officer of Raging Capital Management, a private investment partnership focused on public equities. Mr. Martin is a successful entrepreneur who has founded a number of financial information companies, and has invested in and/or advised a number of Internet and institutional financial services companies, including CallStreet, acquired by FactSet; FolderShare, acquired by Microsoft; Majestic Research, acquired by Investment Technology Group; Gerson Lehrman Group; and Lux Research. Mr. Martin has also served on several public company boards including Vitesse Semiconductor, which was acquired by Microsemi in 2015; Salary.com, which was acquired by Kenexa in 2010; and Bankrate, which was acquired by Apax Partners in 2009.

Mr. Satish Nandapurkar is Co-Founder and Principal at Silveus Financial, and Chief Risk Officer at Typhon Capital. Mr. Nandapurkar has held previous roles such as CEO of the Deutsche Boerse, Head of Products and Services at the Chicago Mercantile Exchange, and Head of FX Options at Bank of America.

Mr. Ron Bodkin is the Founder of Think Big, an organization helping companies realize measurable value from Big Data. Previously Mr. Bodkin was VP Engineering at Quantcast and led the data science and engineer teams that pioneered that use of Hadoop and NoSQL for batch and real-time decision making. Mr. Bodkin was also Co-Founder and CTO of B2B applications provider C-Bridge, which achieved a successful IPO.

Mr. Matt Calman is an innovation consultant for the banking and insurance industries. A 27 year veteran at Bank of America, he led merger transition work in capital markets as well as card, check, and cash payment systems. As Enterprise R&D Executive, he built an innovation lab team that delivered more than 500 concepts, simulations, prototypes, and customer tests and in 2009, designed and launched the first banking Product Innovation Lab in Beijing with China Construction Bank. He has led research programs at the MIT Media Lab and Carnegie Mellon University’s HCI Institute and is named inventor on 49 issued U.S. patents and more than 250 applications.

Ms. Sandy Atwell leads Calgary Scientific’s business development efforts with a focus on cloud and collaboration. A veteran of the financial services and tech industries, Ms. Atwell has served on various Boards and in Executive roles including Novell, has founded numerous for profit organizations, and is currently the Founder and CEO of a successful non-profit.

UCX has been named as an AlwaysOn Top 50 Emerging Company for Financial Technology. To learn more about UCX and the executive team visit: http://ucxchange.com/about-us/.

About UCX

UCX, Universal Compute Xchange, is defining a new asset class of exchange traded products that are available for trading on an electronic platform using technology licensed from CME Group that address the needs and risks of the digital generation. UCX is recognized as an AlwaysOn “Top 50 Emerging Company” for FinTech and is the leading global exchange for trading infrastructure as a service, IaaS, “The Cloud”. UCX has licensed the patented Workload Allocation Cube (WAC) metric for measuring IT infrastructure usage, to create the benchmark WAC financial contract. UCX enables buyers and sellers to engage in price discovery and trade standardized WAC financial contracts to reduce their financial IT Infrastructure risk exposure while increasing operational agility and market efficiency, from a transparent, centralized marketplace. UCX is where the world comes to trade.

For more information visit http://ucxchange.com/ and follow us on twitter @ucxchange

Related Hadoop Press Releases

Microsoft's Power BI comes out of preview and available on July 24th
The service runs on Azure and leverages main memory in contrast to two stage, disk-based MapReduce like older data stored in Hadoop. The support for Apache Spark was added directly into Power BI last night, and now users will benefit from query …
Read more on WinBeta

Bits | Companies Move On From Big Data Technology Hadoop
Google's File System and MapReduce, the subjects of the two papers, were based on computing systems that were not organized around drawing a lot of computer memory in a short time; there just hadn't been that much data before. It did a good job, but it …
Read more on New York Times (blog)

Durham, NC (PRWEB) June 08, 2015

Mammoth Data, Inc, the leader in big data consulting, is excited to announce it has joined the Red Hat Connect for Business Partners Program. By expanding its ecosystem to include Red Hat’s technology stack, Mammoth Data aims to continue to provide high level data architecture strategy to customers.

Red Hat, the leader in open source IT products and services, has solutions that enable customers to tackle and solve the challenges of next-generation big data and business intelligence. By collaborating with Red Hat, Mammoth Data aims to deliver modern infrastructure solutions that enable enterprise level organizations, key stakeholders, analysts and developers to create data-driven roadmaps for success.

“We are thrilled to add Red Hat to our incredible ecosystem of partners,” said Andrew C. Oliver, President and Founder of Mammoth Data. “We have been working with them to create big data solutions for Risk Management in financial services with Hadoop and Red Hat JBoss Data Grid, and are excited to combine our strategic data architecture expertise with Red Hat’s broad offerings.”

By incorporating Red Hat offerings including Red Hat Enterprise Linux, Red Hat Enterprise Linux OpenStack Platform, OpenShift by Red Hat, Red Hat JBoss Middleware, Red Hat Ceph Storage and Red Hat Gluster Storage with Hadoop and NoSQL technologies, Mammoth Data aims to:

Create modern infrastructures for data-driven organizations
Design or enable systems to scale for today’s ever-growing amount of data
Enable companies to perform comprehensive analysis on unstructured, dispersed or big data

“To help customers get the most out of Red Hat’s open hybrid cloud solutions, we work closely with companies like Mammoth Data that provide powerful and complementary solutions,” said John Bleuer, vice president, Global ISV Partners, Red Hat. “We are pleased to have Mammoth Data join us in the Red Hat Connect for Business Partners Program, and look forward to continued collaboration with them.”

About Mammoth Data, Inc

Mammoth Data, the leader in Big Data consulting, specializes in utilizing distributed frameworks and NoSQL databases to help large and mid-sized companies create modern data architectures and become data-driven organizations. By combining technologies like Hadoop® with a high-level strategy, Mammoth Data is able to craft systems that capture, organize and turn unstructured information into real business intelligence.

Headquartered in downtown Durham, North Carolina, Mammoth Data was founded in 2008 as Open Software Integrators (OSI) by Andrew C. Oliver, an open source software developer and evangelist. The company rebranded as Mammoth Data in 2015.

Media Contact:

Tara Fusco | Marketing Manager | 919-321-0119 | tfusco(at)mammothdata(dot)com

Red Hat, Red Hat Enterprise Linux, and JBoss are trademarks of Red Hat, Inc., registered in the U.S. and other countries. Linux® is the registered trademark of Linus Torvalds in the U.S. and oth-er countries. The OpenStack mark is either a registered trademark/service mark or trade-mark/service mark of the OpenStack Foundation, in the United States and other countries, and is used with the OpenStack Foundation’s permission. Red Hat is not affiliated with, endorsed or spon-sored by the OpenStack Foundation, or the OpenStack community.

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Emerging Trends in Image Processing, Computer Vision and Pattern Recognition (Emerging Trends in Computer Science and Applied Computing)

Emerging Trends in Image Processing, Computer Vision, and Pattern Recognition discusses the latest in trends in imaging science which at its core consists of three intertwined computer science fields, namely: Image Processing, Computer Vision, and Pattern Recognition. There is significant renewed interest in each of these three fields fueled by Big Data and Data Analytic initiatives including but not limited to; applications as diverse as computational biology, biometrics, biomedical imaging, ro

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